Volume 8 , Issue 1 , PP: 26-34, 2021 | Cite this article as | XML | Html | PDF | Full Length Article
Ahmad Freij 1 * , Khalid Walid 2 , Mohammad Mustafa 3
Doi: https://doi.org/10.54216/JCIM.080103
In this paper, we have proposed a system that will be able to forecast the sales of the e-commerce systems by using the techniques of the deep learning, the main goal of this paper is to help the business and the top management level of the company in decision making in order to provide the workplace the effectiveness and the efficiency in the workplace and to provide an efficient and effective system that it is intelligence to forecast and increase the sales of an e-commerce system, this paper will start with building an e-commerce website using different programming languages which are HTML, CSS, Django, JavaScript Bootstrap, and it this e-commerce website will have a specific database that contains different tables for the product list, the orders, and for the user information and many other tables, then the deep learning algorithms such as Deep Belief Networks and Convolutional Neural Networks will be applied in order to provide an effective system for digital marketing usage, so, it will be able to function as a marketing manager.
Digital Marketing, Deep Learning, Artificial Intelligence, Smart E-Commerce, Business Intelligence, sales forecasting, sales increasing, E-Marketing, Python, Machine Learning
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